Welcome to EAGE Annual Machine Learning Competition 2021!
This event is brought to you in partnership between Gazprom Neft & EAGE.
To enter the competition, please register via your corporate email.
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Head of Data Science - GazpromNeft
Anna Dubovik competition@eage-annual-amsterdam.org
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EAGE Program Lead
Daan van Ommen don@eage.org
The goal of this Competition is to allow companies to benchmark their products against other solutions and provide a platform to broadcast knowledge about products' quality and performance.
We will evaluate both the accuracy and the speed of solutions and publish results on the EAGE Competition page.
After the Competition end, we will provide an opportunity for participants to examine areas with the largest errors produced by their solutions.
Details of Competition for both First Break Picking & Horizon Picking tasks are in the links below.
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The objective of this task is to determine as accurately as possible onsets of first arrivals for each seismic trace in prestack data.
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In this task, we want to determine a set of distinctly visible boundaries on seismic data: they are called horizons, and denote the drastic change in rock properties underneath.